A turnkey MLOps pipeline demonstrating how to go from raw events to real-time predictions at scale.

An open-source RAG-based tool for chatting with your documents.

Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit

Evaluation framework for your Retrieval Augmented Generation (RAG) pipelines

Public code repo for paper "SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales"

LLM101n: Let's build a Storyteller

Pretrain, finetune, deploy 20+ LLMs on your own data. Uses state-of-the-art techniques: flash attention, FSDP, 4-bit, LoRA, and more.

Efficient Retrieval Augmentation and Generation Framework

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

⚡FlashRAG: A Python Toolkit for Efficient RAG Research

PyGWalker: Turn your pandas dataframe into an interactive UI for visual analysis

Notebooks for Large Language Models (LLMs) Specialization

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practic…

Sample code for a simple web chat experience through Azure OpenAI, including Azure OpenAI On Your Data.

ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Examples and guides for using the OpenAI API

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

This is a medical bot built using Llama2 and Sentence Transformers. The bot is powered by Langchain and Chainlit. The bot runs on a decent CPU machine with a minimum of 16GB of RAM.

Use OpenAI GPT models to QA your Confluence documentation